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Record W4417123254 · doi:10.3390/adolescents5040079

Unspoken Sexuality: The Mental Health Impact of Missed Sex Conversations in Youth

2025· article· en· W4417123254 on OpenAlexaff
Neelam Saleem Punjani, Amber Hussain

Bibliographic record

VenueAdolescents · 2025
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSafeguardingMental healthVulnerability (computing)Human sexualityPleasurePower (physics)Perception

Abstract

fetched live from OpenAlex

Across the globe, adolescents often grow up surrounded by cultural silence, taboo, or discomfort regarding conversations about sexuality, relationships, and power. The absence of timely, comprehensive, and honest conversations about sexuality, power dynamics, and sexual pleasure during adolescence can significantly impact young people’s mental health and well-being. This commentary paper examines the detrimental effects of the “unspoken curriculum” surrounding sexuality, characterized by silence, misinformation, and avoidance, on the psychological development of young individuals. It examines how the lack of open dialogue contributes to anxiety, shame, distorted perceptions of sexuality, and vulnerability to exploitation. Furthermore, this article underscores the critical need for parents, educators, and society at large to engage in transparent conversations that encompass not only the biological aspects of sexuality but also the essential elements of power, consent, sexual pleasure, healthy relationships, and emotional literacy. By drawing on global research, this paper reveals both common challenges and unique regional barriers, advocating for culturally responsive yet universally rights-based solutions. By fostering open communication and providing accurate, age-appropriate information, we can empower young people to navigate their sexual development with confidence, respect, and a positive sense of self, thereby safeguarding their mental health and fostering healthier societal attitudes towards sexuality.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.868

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.107
GPT teacher head0.469
Teacher spread0.363 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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